Collaborative Computer-Assisted Cognitive Rehabilitation System

Recently have been proposed different physical and cognitive rehabilitation system that allow people with some disabilities to improve and recover some lost capabilities. All these systems allow to carry out these therapies at home proving patients the possibility to accomplish a better rehabilitation, due to the fact that they can practice at home and in a more controlled environment. But, it is not so common that these systems include some social features that reduce the feeling of social isolation of the patients. Thus, in this paper we present an adaptation of a previous proposal including some multiuser therapies that try include some social features and other aspect related to videogames that increases the motivation and makes the treatment funny

Percepciones de las partes interesadas sobre la industria minera en Perú: participación de la comunidad en la toma de decisiones y sus condiciones causales

[EN] This paper studies the community involvement in decision-making on corporate social responsibility (CSR) investments of mining firms in Peru and its causal conditions through stakeholder's perceptions. To this end, community members, NGOs and consultants were interviewed. The focus was on various causal conditions in which stakeholders: a) explain the community needs, b) recognize the investments made by the companies, c) believe that mining benefits are not what they expected, d) declare the costs generated by these activities and e) point out that dialogue is the solution. Collected data were processed via a content analysis, followed by a Qualitative Comparative Analysis (QCA). The conditions which appeared in the QCA solutions were different depending on whether the community participated or not in decision-making, with the second situation prevailing. The results offer further understanding to all parties and may help companies to improve their performance.[ES] Este artículo estudia la participación de la comunidad en la toma de decisiones sobre las inversiones en responsabilidad social corporativa (RSE) de las empresas mineras en Perú y sus condiciones causales a través de las percepciones de los interesados. Con este fin, se entrevistó a miembros de la comunidad, ONGs y consultores. La atención se centró en varias condiciones causales en las que los interesados: a) explican las necesidades de la comunidad, b) reconocen las inversiones realizadas por las empresas, c) creen que los beneficios de la minería no son lo que esperaban, d) declaran los costos generados por estas actividades y e) señalan que el diálogo es la solución. Los datos recopilados se procesaron mediante un análisis de contenido, seguido de un Análisis Cualitativo Comparativo (QCA). Las condiciones que aparecieron en las soluciones del QCA fueron diferentes dependiendo de si la comunidad participaba o no en la toma de decisiones, prevaleciendo la segunda situación. Los resultados ofrecen una mayor comprensión a todas las partes y pueden ayudar a las empresas a mejorar su desempeño.García-Ortega, B.; De-Miguel-Molina, B.; Chirivella González, V. (2020). Stakeholder's perceptions of mining industry in Peru: Community involvement in decision-making and their causal conditions. Revista Globalización, Competitividad y Gobernabilidad. Journal Globalization, Competitiveness & Governability. 14(1):48-61. https://doi.org/10.3232/GCG.2020.V14.N1.02S486114

A survey of parallel hybrid applications to the permutation flow shop scheduling problem and similar problems

Parallel algorithms have focused an increased interest due to advantages in computation time and quality of solutions when applied to industrial engineering problems. This communication is a survey and classification of works in the field of hybrid algorithms implemented in parallel and applied to combinatorial optimization problems similar to the to the permutation flowshop problem with the objective of minimizing the makespan, Fm|prmu|Cmax according to the Graham notation, the travelling salesman problem (TSP), the quadratic assignment problem (QAP) and, in general, those whose solution can be expressed as a permutation

The presence of toxic pollutants in buildings and construction materials increases the risk of cancer

To this day, construction materials that contain toxic and carcinogenic compounds are still used. These materials contribute to increase the levels of these compounds inside buildings, thus increasing the risk of cancer. It is necessary to avoid the use of these materials, carry out correct ventilation of buildings, improve energy efficiency, and design and build green buildings in order to reduce the risk of cancer and therefore to improve the health of the inhabitants

Ultrasonic evaluation of different types of mortas subjected to attack by pig slurry

This paper presents the mechanical behavior of different types of mortar subjected to attack by real pig slurry. The study of the behaviour of mortars was made by the ultrasonic velocity images, obtained by means of automatic inspection and mechanical test of compressive strength. The use of ultrasonic velocity has allowed the extraction of information on the state of damage to the inspected material. The results obtained from non-destructive ultrasonic tests were compared to destructive testing of compressive strength, and they showed how ultrasonic velocity in the degraded material correlates well with the compressive strength. This conclusion allows us to affirm that the ultrasonic velocity can be used to characterize the process of degradation in cement mortars attacked by pig slurry. The study proposes a mathematic model for estimating compressive strength by measuring variations in ultrasonic velocity

Variational autoencoders for anomaly detection in the behaviour of the elderly using electricity consumption data

According To The World Health Organization, Between 2000 And 2050, The Propor Tion Of The World&#39 S Population Over 60 Will Double, From 11% To 22%. In Absolute Numbers, This Age Group Will Increase From 605 Million To 2 Billion In The Course Of Half A Century. It Is A Reality That Most Of Them Prefer To Live Alone, So It Is Necessary To Look For Mechanisms And Tools That Will Help Them To Improve Their Autonomy. Although In Recent Years, We Have Been Living In A Veritable Explosion Of Domotic Sys Tems That Facilitate People&#39 S Daily Lives, It Is Also True That There Are Not Many Tools Specifically Aimed At This Sector Of The Population. The Aim Of This Paper Is To Present A Potential Solution To The Monitoring Of Activity Of Daily Living In The Least Intrusive Way For People. In This Case, Anomalous Patterns Of Daily Activities Will Be Detected By Analysing The Daily Consumption Of Household Appliances. People Who Live Alone Usu Ally Have A Pattern Of Daily Behaviour In The Use Of Household Appliances (Coffee Machine, Microwave, Television, Etc.). A Neuronal Model Is Proposed For The Detection Of Abnormal Behaviour Based On An Autoencoder Architecture. This Solution Will Be Compared With A Variational Autoencoder To Analyse The Improvements That Can Be Obtained. The Well-Known Dataset Called Uk-Dale Will Be Used To Validate The Proposal.V PRICIT (Regional Programme of Research and Technological Innovation); Madrid Government (Comunidad de Madrid-Spain); Universidad Carlos III de Madrid, and Competitiveness (MINECO), Grant/Award Numbers: RTC-2016-5059-8, RTC-2016-5191-8, RTC-2016-5595-2, TEC2017-88048-C2-2-R; Spanish Ministry of Economy; Company MasMovi

ACME: Automatic feature extraction for cell migration examination through intravital microscopy imaging.

Cell detection and tracking applied to in vivo fluorescence microscopy has become an essential tool in biomedicine to characterize 4D (3D space plus time) biological processes at the cellular level. Traditional approaches to cell motion analysis by microscopy imaging, although based on automatic frameworks, still require manual supervision at some points of the system. Hence, when dealing with a large amount of data, the analysis becomes incredibly time-consuming and typically yields poor biological information. In this paper, we propose a fully-automated system for segmentation, tracking and feature extraction of migrating cells within blood vessels in 4D microscopy imaging. Our system consists of a robust 3D convolutional neural network (CNN) for joint blood vessel and cell segmentation, a 3D tracking module with collision handling, and a novel method for feature extraction, which takes into account the particular geometry in the cell-vessel arrangement. Experiments on a large 4D intravital microscopy dataset show that the proposed system achieves a significantly better performance than the state-of-the-art tools for cell segmentation and tracking. Furthermore, we have designed an analytical method of cell behaviors based on the automatically extracted features, which supports the hypotheses related to leukocyte migration posed by expert biologists. This is the first time that such a comprehensive automatic analysis of immune cell migration has been performed, where the total population under study reaches hundreds of neutrophils and thousands of time instances.This work has been partially supported by the National Grant TEC2017-84395-P of the Spanish Ministry of Economy and Competitiveness, Madrid Regional Government and Universidad Carlos III de Madrid through the project SHARON-CM-UC3M, RTI2018- 095497-B-I00 from Ministerio de Ciencia e Innovación (MICINN) and HR17_00527 from Fundación La Caixa to A.H. M.M-M. is supported by the Spanish Ministry of Education, Culture and Sports FPU Grant FPU18/02825. M.P-S. is supported by a Federation of European Biochemical Societies long-term fellowship. J.S. is supported by a fellowship (PRE2019-089130) from MICINN.S

Role of SODC protein in antineoplastic drug resistance

Cells need homeostasis to survive, therefore, they use the different pathways available to obtain it. The SODC protein overexpression, which is implicated in this process, suggests that could be implicated in the process of acquisition resistance during chemotherapy.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech